简介:Inthispaper,aneweffectivemethodisproposedtofindclassassociationrules(CAR),togetusefulclassassociationrules(UCAR)byremovingthespuriousclassassociationrules(SCAR),andtogenerateexceptionclassassociationrules(ECAR)foreachUCAR.CARmining,whichintegratesthetechniquesofclassificationandassociation,isofgreatinterestrecently.However,ithastwodrawbacks:oneisthatalargepartofCARsarespuriousandmaybemisleadingtousers;theotheristhatsomeimportantECARsaredifficulttofindusingtraditionaldataminingtechniques.Themethodintroducedinthispaperaimstogetovertheseflaws.Accordingtoourapproach,ausercanretrievecorrectinformationfromUCARsandknowtheinfluencefromdifferentconditionsbycheckingcorrespondingECARs.Experimentalresultsdemonstratetheeffectivenessofourproposedapproach.
简介:Forworkflow-basedservicecompositionapproach,therelationsbetweentheWebserviceQoSandenvironmentsareusuallynotconsidered,sothattheinformationaboutQoSforcompositeserviceselectionisinaccurate.Itmakestheselectedcompositeserviceinefficient,orevenunexecutable.Toaddressthisproblem,anovelservicecompositionapproachbasedonproductionQoSrulesisproposedinthispaper.Generally,itisverydifficulttodirectlyanalyzehowdifferentkindsofenvironmentfactorsinfluencetheWebserviceQoS.Weadopt'black-box'analysismethodofoptimizingcompositeservices,discoveringtheknowledgesuchas'theQoSofoneWebservicewillbehigherinspecificenvironments'.Inourapproach,theexecutioninformationofthecompositeserviceisrecordedintoalogfirst,whichwillbetakenasthebasisofthesubsequentstatisticalanalysisanddatamining.Then,thetimelyQoSvaluesoftheWebservicesareestimatedandtheproductionQoSrulesbeingusedtoqualitativelyexpressthedifferentperformancesoftheWebserviceQoSindifferentenvironmentsaremined.Atlast,weemploytheminedQoSknowledgeoftheWebservicestooptimizethecompositeserviceselection.Extensiveexperimentalresultsshowthatourapproachcanimprovetheperformanceofselectedcompositeservicesonthepremiseofassuringtheselectingcomputationcost.
简介:Thepaper,basedontheconceptandtheelementsofhumanresourceecosystem(HREcosystem),studiesthefunctionandstructureofHREcosystem,introducestheentropytheorytodefinethecontentofentropyofHREcosystem,constructsthecorrespondingdistinctivemodeltodistinguishthedirectionoftheevolutionofHREcosystemandtheevolutionaryentropymodel,andappliesthemodelstodemonstratetheevolutionaryrulesofHREcosystem.ThestudyshowsthattheentropytheorycanbewellappliedtotheanalysisonHREcosystemandthatitopensupanewfieldintheresearchofhumanresourcemanagementandprovidesaneweffectivetechnicalmethod.
简介:Asknowingtoall,BuddhismisthemaincomponentofTibetanCultureandtranslationofscripturehasplayedaveryimportantroleindevelopmentoftheBuddhismculture.ThisarticleisgoingtodiscusstheregulationsofBuddhistScriptureTranslationmainlyinTupoKindgom.